将书法转化为可执行的表演乐谱,支持人机共创。
Shu Dao: A Calligraphy Score Framework Linking Calligraphy, Music, and Performance

- 把笔画编码为有序可执行动作,构建书法乐谱系统。
- 用动态参数捕捉书写节奏与力度,超越静态图像表达。
- 适合数字人文、人机协作创作及跨艺术研究者使用。
本文提出书法书写评分表示(CWSR),构建以书法为表演艺术的框架“书道”(Shu Dao)。受日本书道和茶道等传统启发,该框架将书法视为类似乐谱的结构化表演。不将汉字视为固定图像,而是将每笔视为有序可执行的动作,形成书法乐谱。字符在结构化空间网格中组织,笔画标注包括笔画类型、执行顺序、空间坐标、轨迹、构图角色及动态属性(如笔压、节奏)。该表示捕捉了图像方法通常忽略的时间性与表现力。主要贡献:一、提出涵盖笔画、字形、布局(如章法)及其韵律动态的多层级结构化记谱系统;二、将“书道”概念化为基于乐谱的表演框架;三、为基于人工智能的书法代理提供分析、可视化与可执行生成的计算基础。该框架连接书法、乐谱与表演文化,推动计算书法与数字人文中的人机协同创作。
原文摘要 · Abstract (English)
This paper introduces Calligraphy Writing Score Representation (CWSR) and proposes Shu Dao as a framework that interprets East Asian calligraphy as a performative art rather than a static visual artifact. Inspired by traditions such as Japanese Shodō and embodied cultural practices such as Chadao , the framework models calligraphy as a structured performance analogous to musical notation. Instead of representing characters as fixed images, the proposed approach encodes each brush stroke as an ordered and executable action, forming a calligraphy score. Characters are organized within a structured spatial grid, and strokes are annotated with attributes including stroke type, execution order, spatial coordinates, trajectory, compositional role, and dynamic properties such as brush pressure and pacing. This representation captures temporal and expressive aspects of calligraphic writing that are typically absent from image-based representations. The paper makes three main contributions. First, it introduces CWSR as a structured notation system for representing calligraphy across multiple levels, including strokes, character structures, and compositional organization (e.g., layout and zhangfa), together with their rhythmic and performative dynamics. Second, it conceptualizes Shu Dao as a score-mediated framework that models calligraphy as structured performance. Third, it establishes a computational foundation for the analysis, visualization, and executable generation of calligraphic works by AI-based calligraphic agents. Together, these contributions bridge calligraphy, musical notation, and performative cultural practices, supporting human--AI co-creation in computational calligraphy and digital humanities research.
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